Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
  • AI
  • Tech
  • Cybersecurity
  • Finance
  • DeFi & Blockchain
  • Startups
  • Gaming
Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
Dataconomy
No Result
View All Result

The Three Game Changers of Machine Learning

byDan Gray
December 11, 2014
in Artificial Intelligence
Home News Artificial Intelligence

Kris HammondWe recently had the opportunity to sit down with Kris Hammond, the Chief Scientist for Narrative Science. Narrative Science focuses around automating text generated from data, turning raw data into insightful accounts. Hammond has spent over 20 years working in and developing the AI labs at the University of Chicago and Northwestern University, making him uniquely placed to offer perspectives on the past, present and future of AI. In this first part of our discussion, Hammond discusses three game-changing technologies that he considers to be key in the future of machine learning.


In the near future, I think what we’re going to see is the acceleration of certain ideas that will actually have a commercial and societal impact. The three areas where I think we’re going to see amazing accelerations are everything associated with automated driving and auxiliary uses of the same technology. So an automated factory that can control automated robotics. We’re going to see an explosion of that.

With the Watson model, I think IBM has to get a handle on two things: One, how to quickly configure Watson for new domains, which is still a bottleneck for them, and how to actually present their results not just as answers, but the answers and explanations. I think that once those two nuts are cracked, we’re going to see a massive flow of decision support systems that are based upon the Watson technology. I think, for lack of a better term, disruptive in the white collar world, in a way that we can’t imagine. People think that the white collar world is somehow protected, but I don’t see it as being protected from the incursion of highly intelligent systems.

Third is the communications layer (and that is me, talking about my company). I think that one of the things that hold people back in terms of understanding the world is an inability to look at data directly and understand what’s happening in the world based upon the data alone. What we’re going to see is a rise of applications based upon Narrative Science technology that allow people to understand everything that’s going on in the world that the machine has been capturing for all these years, and how it keeps expanding in terms of capturing that information, and understand that not because they’re data scientists, not because they know how to do analysis, not because they know how to read a spreadsheet, or look at a visualisation, they’re going to be able to understand it because they can read something that has been indirectly making them understand it. And that thing will be written by Quill.

So I think that super organisation around the process of moving things around, the cars, the further development of Watson technology to really push into the white collar world of decision-making, and then communication coming from the data layer that has been interpreted by Quill or other similar or identical technologies.

Follow @DataconomyMedia

(Image credit: Pascal)

Stay Ahead of the Curve!

Don't miss out on the latest insights, trends, and analysis in the world of data, technology, and startups. Subscribe to our newsletter and get exclusive content delivered straight to your inbox.

Tags: IBM WatsonMachine LearningNarrative ScienceWeekly Newsletter

Related Posts

AI chatbots spread false info in 1 of 3 responses

AI chatbots spread false info in 1 of 3 responses

September 5, 2025
OpenAI to mass produce custom AI chip with Broadcom in 2025

OpenAI to mass produce custom AI chip with Broadcom in 2025

September 5, 2025
Deepmind finds RAG limit with fixed-size embeddings

Deepmind finds RAG limit with fixed-size embeddings

September 5, 2025
TCL QM9K integrates Gemini with presence detection

TCL QM9K integrates Gemini with presence detection

September 5, 2025
LunaLock ransomware hits artists/clients with AI training threat

LunaLock ransomware hits artists/clients with AI training threat

September 5, 2025
OpenAI: New ‘OpenAI for Science’ uses GPT-5

OpenAI: New ‘OpenAI for Science’ uses GPT-5

September 5, 2025
Please login to join discussion

LATEST NEWS

Texas Attorney General files lawsuit over the PowerSchool data breach

iPhone 17 Pro is expected to arrive with 48mp telephoto, variable aperture expected

AI chatbots spread false info in 1 of 3 responses

OpenAI to mass produce custom AI chip with Broadcom in 2025

When two Mark Zuckerbergs collide

Deepmind finds RAG limit with fixed-size embeddings

Dataconomy

COPYRIGHT © DATACONOMY MEDIA GMBH, ALL RIGHTS RESERVED.

  • About
  • Imprint
  • Contact
  • Legal & Privacy

Follow Us

  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
No Result
View All Result
Subscribe

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy Policy.